基于微分进化算法的多目标交会策略

采用微分进化算法研究了考虑J2摄动影响的多目标远程最优交会问题。首先,采用虚拟目标点摄动修正策略,提出了考虑J2摄动影响的远程交会轨迹求解方法。然后,建立了多目标远程最优交会的性能指标函数,采用微分进化算法,对燃料最优与任务时间最优的多目标远程交会进行了寻优计算,得到了相应的优化结果和多目标最优交会策略。研究工作可用于多目标在轨服务和拦截任务的远程交会策略制定和和轨道设计。

The Multiple-Object Rendezvous Strategy Based on Differential Evolution Algorithm

The optimization for multi-object rendezvous under the influence of the J2 perturbation was studied. Firstly, a method for the solution of rendezvous problem in the earth J2 perturbation environment based on virtual target was put forward. Then, the performance index function for the multi-object rendezvous problem was established. Using the Differential Evolution Algorithm, the strategies for the two conditions of the multi-object rendezvous with the minimum fuel consumption and the minimum time consumption were optimized. The research work of this paper can be used for orbit design and strategy selection in the mission of multi-object on-orbit service or interception.